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solace agent mesh

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Basic Information

Solace Agent Mesh is an open-source framework for building event-driven multi-agent AI systems where multiple specialized agents collaborate to solve complex problems. It provides a standardized, asynchronous communication layer using the Solace Platform so agents can discover peers, delegate work, and exchange data and artifacts. The project integrates the Solace AI Connector for broker connectivity and configuration and uses Google’s Agent Development Kit for agent runtime, LLM interaction, tools and state management. The repo includes tools and configuration to host agents, define capabilities via SAC YAML, manage file artifacts, and run a web UI and gateways for external integrations. The architecture emphasizes decoupling, scalability, reliability and production readiness for distributed AI workflows.

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App URL
https://github.com/SolaceLabs/solace-agent-mesh
Github Repository
https://github.com/SolaceLabs/solace-agent-mesh/blob/main/README.md

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App Details

Features
The README highlights several implemented features: a multi-agent event-driven architecture that uses the Solace Event Mesh for scalable agent communication and an Orchestrator agent that breaks down and delegates complex tasks. It supports flexible interfaces including a web UI, REST API and Slack gateway and is extensible via plugins so developers can add agents, gateways or services. Agent-to-agent communication follows an A2A protocol for discovery and delegation. The framework provides dynamic embeds for context-dependent content resolution, built-in file management with metadata, and built-in analysis tools such as SQL, JQ and visualization utilities. It is built on SAC and Google ADK to manage lifecycle, LLM access and tools.
Use Cases
Solace Agent Mesh helps teams deliver decoupled, production-ready multi-agent AI applications by handling messaging, agent lifecycle and orchestration so developers focus on agent logic and integrations. It improves scalability and reliability by leveraging Solace event brokers and an asynchronous A2A protocol, enabling dynamic discovery and peer delegation. The provided GUI, CLI commands and plugin system accelerate project initialization, agent creation and extension. Built-in tools for file artifacts, SQL and visualization simplify common tasks like data analysis and report generation. The quickstart and tutorials show local setup requirements and examples for common integrations such as weather, SQL databases, MCP servers and Slack, reducing time to prototype and deploy.

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